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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,291 papers · 148 categories

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134268401535 · Jun 202019922001200920182026
48 results for Area estimates

The paper estimates area and volume for spacetimes with integral mean curvature bounds.

problem Estimating area and volume for spacetimes with specific curvature conditions.
method Using strong energy condition and norms of second fundamental form/mean curvature.
result Established area and volume estimates for spacetimes.

Random forests and LASSO methods improve small area estimation using auxiliary data.

problem Estimating household consumption in small areas with limited sampled data.
method Model-based small area estimation using random forests and LASSO with auxiliary information.
result Bayesian shrinkage performed best in terms of bias, MSE, and prediction interval coverages.

Study estimates area of non-compact surfaces in 3-manifolds, proving rigidity under certain conditions.

problem Estimating area of non-compact HH-surfaces in 3-manifolds with negative curvature.
method Analyzes area estimates and rigidity conditions for HH-surfaces embedded in 3-manifolds of negative curvature.
result Proves rigidity for equality in area estimate under specific conditions, but provides a counterexample for minimal surfaces.

Estimates area and spectrum of stable minimal surfaces in Euclidean and hyperbolic spaces.

problem Estimating the growth of area and spectrum of stable minimal surfaces.
method Elementary argument and stability inequality for Euclidean space; explicit area growth estimate for hyperbolic space; scalar curvature lower bound for spectrum.
result Minimal surfaces in Euclidean space grow like the Euclidean plane, and in hyperbolic space, explicit area growth estimates are derived.

Horseshoe priors improve small area estimation by borrowing strength globally but locally.

problem Improving precision of small area estimators through global-local borrowing of strength.
method Developed a tail-robust horseshoe model for Fay-Herriot small area estimation, using heteroscedastic Tweedie identity and regular variation theory.
result The horseshoe model outperforms structured Gaussian smoothing on strongly spatial data, identifying exceptional areas that smoothing suppresses.

The study finds area estimates for specific surface types in a flat 3-torus.

problem Finding surfaces with constant mean curvature in a flat 3-torus.
method Analyzes closed surfaces with specific genus and constant mean curvature in a closed flat 3-torus.
result Establishes area estimates for surfaces with constant mean curvature, contrasting with minimal surfaces.

Study proves area estimates for stable capillary hypersurfaces with nonpositive Yamabe invariant.

problem Estimating areas of stable capillary hypersurfaces with nonpositive Yamabe invariant.
method Proves area estimates using stable capillary hypersurfaces in Riemannian manifolds.
result Local rigidity result for embedded, J\mathcal{J}-energy-minimizing hypersurfaces.

We obtain area growth estimates for constant mean curvature graphs in E(κ,τ)\mathbb{E}(κ,τ)-spaces with κ0κ\leq 0, by finding sharp upper bounds for the volume of geodesic balls in E(κ,τ)\mathbb{E}(κ,τ). We focus on complete graphs and graphs with zero boundary values. For instance, we prove that entire graphs in $\mathbb{E}(κ…

2015-04-20abs ↗pdf ↗

The paper defines surface area for graphs and derives spectral estimates.

problem Understanding connectivity measures and spectral properties of graphs.
method Introducing surface area concepts related to inverse degree and deriving spectral bounds.
result An upper bound on the second eigenvalue for planar graphs.

JAPAN uses flow-based models to create adaptive prediction areas with better coverage guarantees.

problem Inadequate prediction areas from existing conformal prediction methods, especially for multimodal distributions.
method JAPAN employs density-based conformity scores using flow-based models to construct context-adaptive prediction areas.
result JAPAN produces more accurate and context-adaptive prediction areas compared to existing methods.

In a series of papers, including the present one, we give a new, shorter proof of Almgren's partial regularity theorem for area minimizing currents in a Riemannian manifold, with a slight improvement on the regularity assumption for the latter. This note establishes a new a priori estimate on the excess measure of an a…

2013-06-05abs ↗pdf ↗

We show an Uhlenbeck type estimate for closed simply connected manifolds which provides the existence of certain exact sequences in K-area homology. This leads to the behavior of the K-area homology under surgery. Moreover, we give an index theoretic obstruction to positive scalar curvature on compact spin manifolds wi…

2013-10-02abs ↗pdf ↗

PriorVAE uses VAEs to efficiently encode spatial priors for small-area estimation.

problem Efficiently encoding spatial priors for small-area estimation using Gaussian processes.
method Approximating Gaussian process priors with a variational autoencoder (VAE).
result Efficient spatial inference through a low-dimensional latent Gaussian space representation.

In this paper we consider the evolution of a graph-like hypersurface by anisotropic mean curvature flow, under some restrictions on the anisotropic area integrand. We find interior estimates (in both time and space) on the gradient of such hypersurfaces, depending only on the height of the graph and the anisotropic are…

2005-10-02abs ↗pdf ↗

Refined estimates for surfaces in curved spaces based on Willmore functional.

problem Estimating the position of surfaces in curved spaces accurately.
method Critical points of the Willmore functional, constrained area, refined geometric center of mass.
result Improved position estimates related to ambient scalar curvature.

Rotationally symmetric hypersurfaces converge to cylinders under area-preserving flow.

problem Convergence of rotationally symmetric hypersurfaces to cylinders under area-preserving mean curvature flow.
method Geometric properties and maximal principle used for gradient and curvature estimates, leading to long-time existence and convergence.
result Rotationally symmetric hypersurfaces converge to cylinders under area-preserving mean curvature flow.

The paper studies volume and area comparisons in non-compact 3-manifolds with non-negative scalar curvature.

problem Volume and area comparisons in non-compact 3-manifolds with non-negative scalar curvature.
method Gradient integral estimates and level set analysis.
result Sharp volume and area comparisons derived from a gradient integral estimate.

The paper proves formulas for capillary surfaces and applies them to inequalities and area estimates.

problem Understanding capillary surfaces and their properties.
method Established monotonicity formulas for capillary surfaces in half-space and unit ball.
result Extended Li-Yau-type inequalities and optimal area estimates for capillary surfaces.

This paper considers some fundamental questions concerning marginally trapped surfaces, or apparent horizons, in Cauchy data sets for the Einstein equation. An area estimate for outermost marginally trapped surfaces is proved. The proof makes use of an existence result for marginal surfaces, in the presence of barriers…

2007-08-30abs ↗pdf ↗

Study sharp geometric estimates for critical metrics on compact manifolds.

problem Investigating critical metrics of the volume functional on compact manifolds.
method Establishing sharp estimates for mean curvature and area of boundary components.
result Sharp estimates for mean curvature and area of boundary components of critical metrics.

Large filters improve performance but are costly; this work uses learned box filters and summed-area tables.

problem Improving performance in dense prediction tasks like human pose estimation with large filters.
method Adopted learnable box filters and summed-area tables to reduce computational cost and maintain performance.
result Demonstrated competitive performance on human pose estimation benchmarks.

This paper gives the first explicit, two-sided estimates on the cusp area of once-punctured torus bundles, 4-punctured sphere bundles, and 2-bridge link complements. The input for these estimates is purely combinatorial data coming from the Farey tesselation of the hyperbolic plane. The bounds on cusp area lead to expl…

2008-08-20abs ↗pdf ↗

We formalize AURC and develop estimators for SC systems.

problem Evaluation of SC systems' performance.
method Formal statistical formulation, Monte Carlo methods, plug-in estimators.
result Plug-in estimators are consistent, with low bias and bounded MSE.